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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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                            <li class="last"><a href="group__shark__globals.html">Global functions</a></li>
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<div class="textblock">Here is a list of all functions with links to the classes they belong to:</div>

<h3><a id="index_i" name="index_i"></a>- i -</h3><ul>
<li>IHR1()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_i_h_r1.html#aac9602211366da05e8268615edef5908">shark::benchmarks::IHR1</a></li>
<li>IHR2()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_i_h_r2.html#a0dd1aa5cb15bae215cca3dedfb98cf69">shark::benchmarks::IHR2</a></li>
<li>IHR3()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_i_h_r3.html#a72926e9f6e91ada7d023657075ec8e76">shark::benchmarks::IHR3</a></li>
<li>IHR4()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_i_h_r4.html#aaae211c1b9dfab6a07d03d9a501b1779">shark::benchmarks::IHR4</a></li>
<li>IHR6()&#160;:&#160;<a class="el" href="structshark_1_1benchmarks_1_1_i_h_r6.html#a747a16e9b279c6d9933308029054a283">shark::benchmarks::IHR6</a></li>
<li>ImagePatches()&#160;:&#160;<a class="el" href="classshark_1_1_image_patches.html#aebd3397b0cd45f13561ffc1596e95973">shark::ImagePatches</a></li>
<li>index()&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#ac499a09353aff38530837d22a16ad24a">shark::BinaryTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_data_view.html#a8eb1ce492f50ab67e4c222f1315f83cc">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="classshark_1_1_indexed_iterator.html#addc567fdd49114d13a2084d2c197df33">shark::IndexedIterator&lt; Iterator &gt;</a></li>
<li>IndexedIterator()&#160;:&#160;<a class="el" href="classshark_1_1_indexed_iterator.html#ae36af0bf7699c067d3b9a21e160b94c3">shark::IndexedIterator&lt; Iterator &gt;</a></li>
<li>indexedSubset()&#160;:&#160;<a class="el" href="group__shark__globals.html#gaa2d2689f5da9dbd4eac362d3c03ebcaf">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#gae0d1826d38c41637eaaf99b3813ad133">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>IndexingIterator()&#160;:&#160;<a class="el" href="classshark_1_1_indexing_iterator.html#a4249c0b21e8844d0498812a289b0a970">shark::IndexingIterator&lt; Container &gt;</a></li>
<li>indicator()&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#af2b3ebf01d425b30744c299614707d17">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#a74f3d8169b3677c6de5595384b70556b">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="structshark_1_1_indicator_based_selection.html#a23d24a2c30ee496f9b62a977c35e2ad4">shark::IndicatorBasedSelection&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#a8820691e0c21676fbd4475583e0bbb1e">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#af7280dcb62a1e9b554f84516ebf6dbc5">shark::SMSEMOA</a></li>
<li>IndicatorBasedMOCMA()&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#a521cbffbdca285013a94905b7ed2de0a">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a></li>
<li>IndicatorBasedRealCodedNSGAII()&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#a1bc72e4c13869acc416e57a3da9cc6c6">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a></li>
<li>IndicatorBasedSteadyStateMOCMA()&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#acf6f4e12f2a58152ad70e8ba825a3492">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a></li>
<li>Individual()&#160;:&#160;<a class="el" href="classshark_1_1_individual.html#ace77ffb9f21e486028a7264043bbf35a">shark::Individual&lt; PointType, FitnessTypeT, Chromosome &gt;</a></li>
<li>info()&#160;:&#160;<a class="el" href="classshark_1_1_shark.html#a620b111e1c1a195fa9f4f24c885fdc00">shark::Shark</a></li>
<li>init()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#a197982cec7de486f937715a3f280be72">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_abstract_objective_function.html#abe4776a85c4ce622c25f3290fa1395d1">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_abstract_optimizer.html#a5f6f869a2ea7c6d29e70f8248f076f66">shark::AbstractOptimizer&lt; PointType, ResultT, SolutionTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_single_objective_optimizer.html#a246f1f1d4e0566c9a0ca43035a63fad5">shark::AbstractSingleObjectiveOptimizer&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_adam.html#a05893bc5dc81a6fccd0b9a0a15415770">shark::Adam&lt; SearchPointType &gt;</a>, <a class="el" href="structshark_1_1_additive_epsilon_indicator.html#ae950bee1dcfc504d1ba6a4bbda7847ee">shark::AdditiveEpsilonIndicator</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b1.html#aca3944500a5ff641a6953779d1a9ddcc">shark::benchmarks::CIGTAB1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b2.html#a378192b95c616850fa29789990702ff7">shark::benchmarks::CIGTAB2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i1.html#abc954f9ae65aceeb13cf8872765c2282">shark::benchmarks::ELLI1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i2.html#a77dcade2f01cddb4879bb472ee00f3be">shark::benchmarks::ELLI2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r1.html#a12b03c97f5968b029df2deb6f798182f">shark::benchmarks::IHR1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r2.html#ac577de4262b28f14877642b2853b82e4">shark::benchmarks::IHR2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r3.html#a5790f2cce54e8082b1609d51b78063e2">shark::benchmarks::IHR3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r4.html#af35dea9eca62492c70f9fd081b401f01">shark::benchmarks::IHR4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r6.html#aaf5b811324aac739602144691c8984ae">shark::benchmarks::IHR6</a>, <a class="el" href="classshark_1_1benchmarks_1_1_multi_objective_benchmark.html#a542adb82f194ccc98c4f63b27fe2b5d1">shark::benchmarks::MultiObjectiveBenchmark&lt; Objectives &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_rotated_objective_function.html#aade55634541439051253553179f9ed49">shark::benchmarks::RotatedObjectiveFunction</a>, <a class="el" href="structshark_1_1_bitflip_mutator.html#ae4709fc7f40d17f105534b348f925e17">shark::BitflipMutator</a>, <a class="el" href="classshark_1_1_c_m_a.html#a6de4377a5bdc84947c86d0394be08179">shark::CMA</a>, <a class="el" href="classshark_1_1_c_m_s_a.html#aa3d802c04d5ccd70c8375dca79417008">shark::CMSA</a>, <a class="el" href="classshark_1_1_combined_objective_function.html#a84e806179b62ca8fa83a5408671f2dd1">shark::CombinedObjectiveFunction&lt; SearchPointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_method.html#af00780727abed9ac2563ce6cac472012">shark::CrossEntropyMethod</a>, <a class="el" href="structshark_1_1_crowding_distance.html#a76fde6ed24f0c47db44ffc2e145cd2a8">shark::CrowdingDistance</a>, <a class="el" href="classshark_1_1_double_pole.html#a0ab0da8d67c1bdd2987615a1fb25a3f6">shark::DoublePole</a>, <a class="el" href="classshark_1_1_elitist_c_m_a.html#a68ca942a72b59c681642a33d98f36e72">shark::ElitistCMA</a>, <a class="el" href="classshark_1_1_error_function.html#a6ba22ddebbfc72a20503c9089e59abe8">shark::ErrorFunction&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_evaluation_archive.html#a2256ac033c4c015346fc88197d9a42c9">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_grid_search.html#aee57c542b7ca10f41028da93434bf316">shark::GridSearch</a>, <a class="el" href="structshark_1_1_hypervolume_indicator.html#a3f66955d9e917b7a569608238b538827">shark::HypervolumeIndicator</a>, <a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#a015efc8d71a2dbc53aef7a5be2895ce2">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#aa7be0351f6549d3a2c25405c10c28d3e">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#ab04e4ddfa160150c997d059c1f656bc6">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_line_search.html#ab9c07455e28cb27e697909daba8005d5">shark::LineSearch&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_l_m_c_m_a.html#a7371b088ce92161da051ce664a97e9a0">shark::LMCMA</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#aacef82f9dfcce8e69cc472eb62ca63a2">shark::MOEAD</a>, <a class="el" href="classshark_1_1_nested_grid_search.html#a7d9ffc24f40f1824e0973e880c48d474">shark::NestedGridSearch</a>, <a class="el" href="structshark_1_1_n_s_g_a3_indicator.html#aa484bfef7ef12fa0aa42bf74238e6236">shark::NSGA3Indicator</a>, <a class="el" href="classshark_1_1_point_search.html#a526bcfc4e0bcfd6bd4d4c937347f5ad6">shark::PointSearch</a>, <a class="el" href="structshark_1_1_polynomial_mutator.html#a0f2ff5ec5666e3a94e942fb427bb46ff">shark::PolynomialMutator</a>, <a class="el" href="classshark_1_1_population_based_step_size_adaptation.html#a83113ac7f0853d0e7e8fc679816efa6e">shark::PopulationBasedStepSizeAdaptation</a>, <a class="el" href="classshark_1_1_rprop.html#a015c8b2cbc204bd39b2ef89500679625">shark::Rprop&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#a7f3c0738f3f6ef3501ea9554ab5829cf">shark::RVEA</a>, <a class="el" href="classshark_1_1_simplex_downhill.html#a5362ffe8e7c5d448f2b4072cd0e62ab6">shark::SimplexDownhill</a>, <a class="el" href="structshark_1_1_simulated_binary_crossover.html#aa868f6ac83e29e113e4fd4a6628998d9">shark::SimulatedBinaryCrossover&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_single_pole.html#a4f3d9a11b06df99676eed8478ec1f757">shark::SinglePole</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#ac3c42fb3fa621d61e42c0d8cfa3de003">shark::SMSEMOA</a>, <a class="el" href="classshark_1_1_steepest_descent.html#ad8a11c43e286716c78eddcaad85e2c35">shark::SteepestDescent&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_trust_region_newton.html#a891852f57ed31dda460a76deae33d516">shark::TrustRegionNewton</a>, <a class="el" href="classshark_1_1_two_point_step_size_adaptation.html#aa32f71d5a7bcf74aed6ac6e89a4885d6">shark::TwoPointStepSizeAdaptation</a>, <a class="el" href="classshark_1_1_v_d_c_m_a.html#a0fa083a499437065ddcee88bcdafbfe3">shark::VDCMA</a></li>
<li>initDegree()&#160;:&#160;<a class="el" href="classshark_1_1_double_pole.html#a89b7eaa944fae019602a677a834eaba8">shark::DoublePole</a>, <a class="el" href="classshark_1_1_single_pole.html#a126636632b5572c99dbdc98194c59132">shark::SinglePole</a></li>
<li>initFromData()&#160;:&#160;<a class="el" href="classshark_1_1_centroids.html#a15454f974bdf8167ef231941a7a54c6b">shark::Centroids</a></li>
<li>initializeChain()&#160;:&#160;<a class="el" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a21b3be14d212c43e6503cad08301d393">shark::EnergyStoringTemperedMarkovChain&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_markov_chain.html#aeca1e601f471e959b5047b9afa9b7a72">shark::MarkovChain&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_tempered_markov_chain.html#a09bdfb62397058b4f8ef2cff44e55654">shark::TemperedMarkovChain&lt; Operator &gt;</a></li>
<li>initialReferenceVectors()&#160;:&#160;<a class="el" href="classshark_1_1_r_v_e_a.html#ac1a96c7b2280d8e8be432b9bc45edab5">shark::RVEA</a></li>
<li>initialSigma()&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#a5454cbbea6a9429dabec2c285298f5c4">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#a98fa0496f071f295eceba01fa0aaddb3">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a></li>
<li>initModel()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#a4f5d589bb165982f6298cc886ea41fa7">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_b_f_g_s.html#adbb2cf5040f24ced422b27595361a6ff">shark::BFGS&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_c_g.html#aa6aec176a373e6061cd9379ad61614a6">shark::CG&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_l_b_f_g_s.html#aeee8fae6dba7fd99c3e4099fe6427797">shark::LBFGS&lt; SearchPointType &gt;</a></li>
<li>inputDimension()&#160;:&#160;<a class="el" href="classshark_1_1_bars_and_stripes.html#a9d3b38dcb25c55e2bea3dcf1ff260c0e">shark::BarsAndStripes</a>, <a class="el" href="classshark_1_1_distant_modes.html#a0516b0c3ac1377214d2bebabe0b0f936">shark::DistantModes</a>, <a class="el" href="classshark_1_1_m_n_i_s_t.html#a3604eb0cdd8872517292e4c29808ec3b">shark::MNIST</a>, <a class="el" href="classshark_1_1_shifter.html#a6b4e0397cefc7876e48a5cb4ce3d2e6e">shark::Shifter</a></li>
<li>inputHidden()&#160;:&#160;<a class="el" href="structshark_1_1_energy.html#a751c81c6de87a9d563d36db38edccb92">shark::Energy&lt; RBM &gt;</a>, <a class="el" href="classshark_1_1_r_b_m.html#a87ff1500124f108b836beebc4ee0eeb4">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a></li>
<li>inputs()&#160;:&#160;<a class="el" href="group__shark__globals.html#ga6f74e657c7e0c8a32b2456fb328bd653">shark::LabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="group__shark__globals.html#gaa539b482e46b278300d34502c579c51a">shark::UnlabeledData&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_weighted_labeled_data.html#ad11b0613785e1c6f36f6dd5d32662ead">shark::WeightedLabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="classshark_1_1_weighted_unlabeled_data.html#af30cf1f800bf899e55de467f9e211b52">shark::WeightedUnlabeledData&lt; DataT &gt;</a></li>
<li>inputShape()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_clustering.html#a877c93a51f9416ce0f7dec4645086fc8">shark::AbstractClustering&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_model.html#a56391736859ddea5d1011d2248431b47">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_abstract_nearest_neighbors.html#a34d4b8de6de6c7eab9565d2e0eb4117d">shark::AbstractNearestNeighbors&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_c_a_r_tree.html#a3415c364f7cb7d30a4afef271f1f5b42">shark::CARTree&lt; LabelType &gt;</a>, <a class="el" href="classshark_1_1_centroids.html#a162b069a4d71fcec6e7dae5c8251cb2f">shark::Centroids</a>, <a class="el" href="classshark_1_1_classifier.html#ad06d269ebd28e84e9eb9774f10b4c745">shark::Classifier&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_c_m_a_c_map.html#a62d37e3104adce826f02f83e796070ec">shark::CMACMap</a>, <a class="el" href="classshark_1_1_concatenated_model.html#a0e8a68305ae5a156e2c56022a8f5d26f">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_conv2_d_model.html#a9cfa029e47ed8ede811b331830a45061">shark::Conv2DModel&lt; VectorType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_dropout_layer.html#a1b3f8027154aba85b6d60192ccff825b">shark::DropoutLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_hard_clustering_model.html#a39c6ffa9343fa4f64d51291879a4b653">shark::HardClusteringModel&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_hierarchical_clustering.html#abee669691bdffb90189c70cc49974e78">shark::HierarchicalClustering&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_kernel_expansion.html#aafda4afa8142b463e1b316d8bd4e342f">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="group__shark__globals.html#ga3eace53afd7b57c7ba1b1619a43a1f97">shark::LabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#af906b5c987b57e45a8a2a6d36a56bb55">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_neuron_layer.html#a86d5dee999295cf812aff10cde13acaf">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_normalizer.html#a3ed1c776011bf4c3b846b4314e5e8cf0">shark::Normalizer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_one_versus_one_classifier.html#a526c89d58bd792fb51b0eeb43bd241b6">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_pooling_layer.html#a3f05ce81a11201e1d81baa65c61d503d">shark::PoolingLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_r_b_f_layer.html#a44b2ae85c21a914c7e82b613fd99b311">shark::RBFLayer</a>, <a class="el" href="classshark_1_1_r_b_m.html#a51a624959ff348a01150a8ea654709ff">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a>, <a class="el" href="classshark_1_1_resize_layer.html#a66576bbb87bfcc6bdb701e7f1cccc5b5">shark::ResizeLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_soft_clustering_model.html#aec891941d34d604d57e42d4c47e86bdf">shark::SoftClusteringModel&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_weighted_labeled_data.html#a78fdd89eae099be245faff5907baa867">shark::WeightedLabeledData&lt; InputT, LabelT &gt;</a></li>
<li>inputVisible()&#160;:&#160;<a class="el" href="structshark_1_1_energy.html#acf73968e06c43cedaf8fede5b2bf7782">shark::Energy&lt; RBM &gt;</a>, <a class="el" href="classshark_1_1_r_b_m.html#ab6140a0df931943c1c26bc07065a5565">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a></li>
<li>intToBinary()&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_calculator_m_d_h_o_y.html#a718f1d55fa7ea4da245e6eaf686ea61e">shark::HypervolumeCalculatorMDHOY</a></li>
<li>isAdaptive()&#160;:&#160;<a class="el" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>isBoxConstrained()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_constraint_handler.html#aedb08703ce0c179aa3a05f17d4a1874f">shark::AbstractConstraintHandler&lt; SearchPointType &gt;</a></li>
<li>isCached()&#160;:&#160;<a class="el" href="classshark_1_1_cached_matrix.html#a64a43716271f03ac6415a5cecc4c1e5d">shark::CachedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_l_r_u_cache.html#aa7fe0128f8b11bfab3e6e89d0544b4dd">shark::LRUCache&lt; T &gt;</a>, <a class="el" href="classshark_1_1_partly_precomputed_matrix.html#aa0fbdf12f7e6492c18ddfc302d4c9572">shark::PartlyPrecomputedMatrix&lt; Matrix &gt;</a>, <a class="el" href="classshark_1_1_precomputed_matrix.html#a39a2a5510b3f3727bcfa1cd5308a7447">shark::PrecomputedMatrix&lt; Matrix &gt;</a></li>
<li>isConstrained()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#a2a03eac74b7cac35c5d510ab12599393">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a></li>
<li>isDeactivated()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a697ec9eb72894c871731ff96c880fb26">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a></li>
<li>isDynamicLibrary()&#160;:&#160;<a class="el" href="classshark_1_1_shark.html#a2ca0b2788d4f82f18b5bece96508c068">shark::Shark</a></li>
<li>isFeasible()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_constraint_handler.html#aeef35996d9bc707be399480e8e0c1f82">shark::AbstractConstraintHandler&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_abstract_objective_function.html#a152c45a40169bf31cead2b9169a5367c">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_constrained_sphere.html#af9ea463927f9265da78256d099c6e2a2">shark::benchmarks::ConstrainedSphere</a>, <a class="el" href="classshark_1_1_box_constraint_handler.html#a3a87fd3165faee82fb59ab50ed7ad8aa">shark::BoxConstraintHandler&lt; Vector &gt;</a>, <a class="el" href="classshark_1_1_combined_objective_function.html#aa58f49e133bac3fa073958fdb238d2db">shark::CombinedObjectiveFunction&lt; SearchPointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_evaluation_archive.html#ae12c833605409ece5925889fe6afc25c">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a9a2421271fa2504061af8532340529c6">shark::SvmLogisticInterpretation&lt; InputType &gt;</a></li>
<li>isLeaf()&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#a1876569a27c34141bbc4e3fbfe2367ef">shark::BinaryTree&lt; InputT &gt;</a></li>
<li>isLeft()&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#a456c9994792021b1bb2557cad4ab7a3e">shark::BinaryTree&lt; InputT &gt;</a></li>
<li>isLossFunction()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_cost.html#aa9a59d0fffd49c260995c05820723029">shark::AbstractCost&lt; LabelT, OutputT &gt;</a></li>
<li>isLowerBound()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a066c7548372975c1dd243147c0adc1a3">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#a39babf310726215d71ef6e29235342c9">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>isNoisy()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#a80a63b56c111cd7c65e5b264c9d84bac">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a></li>
<li>isNormalized()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_kernel_function.html#a3b60def6354aac30a9c2ce5bffa6f9ae">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a></li>
<li>isOfficialRelease()&#160;:&#160;<a class="el" href="classshark_1_1_shark.html#ab9f662426dc2bf5ede89bb5fc2c8dc46">shark::Shark</a></li>
<li>isPile()&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_calculator_m_d_h_o_y.html#a5b245e118623fc9bb616e7ddb0f471f0">shark::HypervolumeCalculatorMDHOY</a></li>
<li>isRight()&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#aaf824c0062811dfa4311a66292bb38be">shark::BinaryTree&lt; InputT &gt;</a></li>
<li>isThreadSafe()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#a3b418f50d0e284fe10c92a1c719d5615">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a></li>
<li>isUnconstrained()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_linear_svm_trainer.html#a8206943892e647fa0cb763f68bf603ae">shark::AbstractLinearSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a787df0ebf0c01da4f3e900e0f3ad109a">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;</a>, <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#af9ee46318c066f68346a9f95b0a9d89b">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a5f52c070bb985c7bf1f7063c7b4c695a">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>isUpperBound()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a598687378bfc492935546439156d9836">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#ab02d8e8ba4ed8d48ba32fed34c6a1247">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>IterativeNNQuery()&#160;:&#160;<a class="el" href="classshark_1_1_iterative_n_n_query.html#a02c6b80d059c5bd4964ed64a7420ede0">shark::IterativeNNQuery&lt; DataContainer &gt;</a></li>
</ul>
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